Fresh-water and Water Quality Monitoring
AXYS provides customized turnkey solutions for continuous water quality monitoring and fresh-water monitoring projects in large rivers, lakes, and reservoirs.
Continuous water quality monitoring has traditionally been an expensive and complex process. However, with new advances in sensor technologies, such as optical dissolved oxygen sensors and anti-biofouling mechanisms, maintenance requirements are diminishing, thus making continuous monitoring much more attractive and beneficial. Applications for continuous water quality monitoring include environmental assessments for natural resource industries, source drinking water protection, NPDES permit compliance, storm water runoff and sewer overflow monitoring, industrial effluents compliance, stream and habitat studies, water quality research, and total daily maximum loads (TDMLs) monitoring.
Met Ocean Monitoring
AXYS’ buoys are frequently deployed in large rivers, lakes and reservoirs to gather meteorological and oceanographic data, such as wind speed & direction, waves, currents, atmospheric pressure, air temperature, water temperature, and relative humidity. The acquired data can be used for many applications, including weather forecasting, climate studies, operations & safety, resource assessment, and maritime safety, among others.
There are many hydrological monitoring activities being planned and facilitated in the arctic, motivated by an international need for a better understanding of hydrology in the Polar Regions. Water quality studies are also being undertaken internationally for Arctic lakes and rivers to not only gather baseline data but monitor for natural or anthropogenic transformations to these Arctic aquatic ecosystems.
AXYS is participating in this frontier for Arctic aquatic research by designing and manufacturing remote and automated systems for monitoring hydrometric and water quality parameters in arctic environments. By performing continuous monitoring of these parameters year-round, researchers can use data with unparalleled temporal representation to better understand these dynamic aquatic ecosystems.